"Full-Stack MEAN CRUD Development" matching MCP servers:

Provides full read/write access to the GitHub REST API via a single tool using a personal access token.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

An MCP server that provides deterministic tools for AI assistants to standardize development workflows, including branch naming, commit validation, and PR checklists.

Enables Claude to inspect, analyze, and grade local Git repositories with tools for stats, TODO scanning, git history, large file detection, health scores, and tech stack fingerprinting.

Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.

An enhanced Model Context Protocol (MCP) server implementing the Ralph Wiggum technique for iterative, self-referential AI development loops.

Analyzes Git commit history and code diffs to auto-remember development context, providing commit timelines, work sessions, unfinished task detection, and daily/weekly reports.

Enables AI assistants to manage Gitea repositories, issues, and pull requests via the tea CLI, including full PR review workflows.

Enables AI assistants to interact with Atlassian Cloud (Jira, Confluence, Bitbucket) through natural language, providing CRUD operations for issues, pages, pull requests, and more.

An MCP server that provides seamless interaction with Azure DevOps Git repositories, enabling users to manage repositories, branches, pull requests, and pipelines through natural language.

Integrates Zoho Projects, Git, and SonarQube to automate task management, branch creation, code quality checks, and reporting for React developers.

Enables comprehensive directory analysis and file management operations including project structure exploration, intelligent file search, full CRUD operations on files and directories, batch operations with rollback capabilities, and Git integration.

Enables full-stack compiler development across the hw-native-sys workspace by combining repository operations (git health, code search, task running) with a knowledge layer for architecture docs, task routing, and abstraction/pass pipeline information.

Enables AI assistants to interact with Gitea repositories through intelligent tools for issue/PR management, workflow analysis, compliance checking, and content generation, plus 200+ CLI commands for complete CRUD operations.

An MCP server for issue-driven GitLab development, automating requirement analysis, issue creation, branching, coding, merge requests, and issue updates.

A lightweight server for managing local workspaces through file operations, Git version control, and Node.js development commands. It enables users to manipulate files, track repository status, and execute build or dependency scripts within their development environment.

Enables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.

Provides AI assistants with access to personal best practice skills and coding guidelines stored as markdown files in a GitHub repository, enabling retrieval and listing of custom development standards.

This MCP server lets an AI client manage GitHub repositories through the GitHub REST and GraphQL APIs, enabling repository CRUD, topic/label management, and file operations.

Full-featured MCP server exposing 200+ Gitee API v5 endpoints for repository, issue, pull request, user, enterprise, gist, and search management.